TechFite is a company in need of security upgrades for its logs and more storage space in response to growing business interests and pressure from regulatory boards. As a potentially viable solution to deploy to the organization’s network, utilizing a cloud log management service may be the right approach. This emerging technology is increasingly being used in different companies’ software, and modern algorithms for storing and managing digital information make it possible to control log data securely (Drake & Turner, 2020). For instance, today, machine learning mechanisms that are gaining popularity in the era of artificial intelligence are moving to the application of cloud resources as the main platforms for storing the necessary information. As Drake and Turner (2020) argue, the smart analytics of such technology involves efficient data sorting, minimizing unexpected system errors, and protecting from cyberattacks. For TechFite, this is the optimal solution given the increasing need to optimize the security of log data.
To implement the technology in TechFite, first, an appropriate service should be selected, which offers an opportunity to securely store and retrieve log data. The organization deals with secret information, and choosing the optimal software is a responsible step. Further, the selected algorithm requires running in a test mode in parallel with the current processes. This step is mandatory because, in the case of the incompatibility of individual system elements, there is a risk of data loss, which is unacceptable for TechFite. After the technology proves its effectiveness, the necessary information needs to be transferred to a new cloud storage system, but initially, the necessary data for verification and access to digital content should be received. TechFite needs not only information protection but also constant and quick access to it. Therefore, an opportunity to manage the technology as freely as possible is an integral part of productive work in a competitive environment in this market industry.
One of the main advantages of such a cloud log management service for the organization is the ability to speed up the process of working with data, which is essential in the context of an expanding range of tasks. In addition, smart storage algorithms enhance the security of all procedures within the TechFite network, thereby eliminating the risk of information being leaked or stolen by third parties. IT employees can appreciate the benefits of the emerging technology adoption since their work will be optimized, and more time will be left to complete related tasks. At the same time, one should take into account potential negative implications, for instance, the need to adapt the working regime to new and complex operating conditions. To address this challenge, IT staff should undergo training on the updated software to eliminate potential errors and speed up control mechanisms.
As an alternative technology to utilize instead of the considered one, TechFite could look at a network security mechanism with encryption algorithms. According to Li et al. (2020), this technology has such advantages as protecting the wireless network from cyberattacks and reliable data storage and transmission. However, this mechanism cannot expand space for log data, and this is not adaptable to the needs of a particular organization. A cloud log management service, conversely, allows monitoring data flows independently from the main operations and saving the necessary data points for subsequent references (Drake & Turner, 2020). Although this technology depends on software performance and is not personalized in the same way as encryption algorithms, its use seems acceptable.
To determine the success of the implemented technology in TechFite, the IT staff needs to draw up a performance plan that will include the productivity parameters of the previous and the new systems. Based on this comparison, information will be obtained about how effective the application of a cloud log management service is in the organization. The same mechanism will help identify potential gaps in the new software and adapt its operation to current conditions if necessary.
References
Drake, N., & Turner, B. (2020). Best cloud log management services of 2021: Monitor, process, analyze, and visualize logs. TechRadar. Web.
Li, Y., Guo, W., Meng, X., & Xia, W. (2020). Charging wireless sensor network security technology based on encryption algorithms and dynamic model.International Journal of Distributed Sensor Networks, 16(3), 1-10. Web.